Repository statistics collector
Required Python version >= 3.6
- Install dependencies
poetry install # install dependencies
poetry shell # activate the virtual environment
Or without Poetry:
pip install requests>=2.25.0
- Also you must set the environment variables
GITHUB_LOGIN
andGITHUB_TOKEN
usage: analyze.py [-h] [--date-from DATE_FROM] [--date-to DATE_TO] [--branch BRANCH] url
positional arguments:
url URL of the repository being analyzed
optional arguments:
-h, --help show this help message and exit
--date-from DATE_FROM, -s DATE_FROM
Start date of the analyzed time period (format: YYYY-MM-DD)
--date-to DATE_TO, -e DATE_TO
End date of the analyzed time period (format: YYYY-MM-DD)
--branch BRANCH, -b BRANCH
Branch name (default: master)
Example:
python analyze.py https://github.com/smilejay/python -s 2019-06-01 -e 2020-06-01
The implementation builds on using Github Actions. When you create a push to the issue/*
branch, linting and unit testing are called. If all tests pass, the changes are merged into the master branch. If the merge is successful, the tests are run on the master branch. After that, the Docker image is built and published to the Docker Hub. GitHub notifies the VPS with the deployment server when the Docker image is ready. The deployment server downloads the image from the Docker Hub and runs it.